Profile Job Results
Jobs
jgje4j975
Results Ready
Name
resnet50_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
1/10/2026, 8:50:59 PM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
3.65 ms
Estimated Peak Memory Usage
1 ‑ 160 MB
Compute Units
NPU
127
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.11 s | 512‑520 MB |
Subsequent App Load | 166 ms | 0‑162 MB |
Inference | 3.65 ms | 1‑160 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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